ml-from-scratch

The goal of this repo is to implement ML Algorithms from scratch in Julia for better understanding.

TODO

• Extended Isolation Forest.
• Deep Learning framework.
• Gradient Boosting Tree.
• Transformer.
• Bayesian Optimization
• RNNPool in Julia.https://arxiv.org/abs/2002.11921.
• alpha-RNN https://arxiv.org/pdf/2004.04717.pdf
• Vision Transformer https://arxiv.org/pdf/2010.11929.pdf
• Graph Attention https://arxiv.org/abs/1710.10903
• Graph Transformers https://arxiv.org/abs/2009.03509
• DeepLift https://arxiv.org/pdf/1704.02685.pdf
• LIME https://arxiv.org/pdf/1602.04938.pdf